School of Mathematics and Statistics, Hanshan Normal University, Chaozhou, 521041, China.
Department of Radiology, Second Affiliated Hospital of Shantou University Medical College, Shantou, 515041, China.
Sci Rep. 2024 Sep 14;14(1):21471. doi: 10.1038/s41598-024-72141-4.
The process of chemical exchange saturation transfer (CEST) is quantified by evaluating a Z-spectra, where CEST signal quantification and Z-spectra fitting have been widely used to distinguish the contributions from multiple origins. Based on the exchange-dependent relaxation rate in the rotating frame (R), this paper introduces an additional pathway to quantitative separation of CEST effect. The proposed R-line-fit method is solved by a multi-pool model and presents the advantage of only being dependent of the specific parameters (solute concentration, solute-water exchange rate, solute transverse relaxation, and irradiation power). Herein we show that both solute-water exchange rate and solute concentration monotonously vary with R for Amide, Guanidino, NOE and MT, which has the potential to assist in solving quantitative separation of CEST effect. Furthermore, we achieve R imaging of Amide, Guanidino, NOE and MT, which may provide direct insight into the dependency of measurable CEST effects on underlying parameters such as the exchange rate and solute concentration, as well as the solute transverse relaxation.
化学交换饱和转移(CEST)的过程通过评估 Z 谱来量化,其中 CEST 信号定量和 Z 谱拟合已广泛用于区分多种来源的贡献。基于旋转框架中的交换相关弛豫率(R),本文介绍了一种定量分离 CEST 效应的附加途径。所提出的 R 线拟合方法通过多池模型求解,并具有仅依赖于特定参数(溶质浓度、溶质-水交换率、溶质横向弛豫和辐照功率)的优势。在这里,我们表明酰胺、胍基、NOE 和 MT 的 R 值与溶质-水交换率和溶质浓度单调变化,这有可能有助于解决 CEST 效应的定量分离问题。此外,我们实现了酰胺、胍基、NOE 和 MT 的 R 成像,这可能为直接了解可测量的 CEST 效应对交换率和溶质浓度等基础参数以及溶质横向弛豫的依赖性提供了线索。